Madrid Region Research Articles

Potential Reduction in Carbon Emissions in the Transport of Aggregates by Switching from Road-Only Transport to an Intermodal Rail/Road System

Aggregates are the second-most consumed product in the world after water. This geological resource is used as building and construction material, and its production in quarries and delivery to customers generates several environmental problems. Their transport from quarries to consumption points, almost entirely done by truck, also generates impacts such as an increase in traffic and noise and the emission of greenhouse gases and other pollutants. Transportation and storage of goods account for 15% of greenhouse gas emissions in Europe and will increase significantly by 2050. To mitigate this, the European Union suggested shifting 30% of long-distance road freight to cleaner alternatives, such as rail or waterborne transport. This approach neglects the enormous volume of short-distance freight movement and its impact on achieving the goal of reducing greenhouse gas emissions. In this study, the hypothesis to test is whether the use of an intermodal rail/road transport mode, instead of just roads, for the transport of some products can help reduce global CO2 emissions even for short distances. To test this, this study investigates the carbon emissions (and transport cost reduction) generated by rail/road intermodal aggregate transport for short distances in the Madrid region (Spain), rather than the currently used direct truck transport. An analysis of variables, such as aggregate supply, demand locations and amounts, and road and rail networks, using a geographical information system provides the associated carbon emissions of the different transport alternatives. To obtain a reduction in CO2 emissions, this study proposes the establishment of intermodal transfer facilities near consumption centers, where materials are primarily transported by rail, with road transport limited to the final delivery to consumption areas. The results anticipate a notable decrease in carbon emissions in aggregate transport and allow the establishment of more efficient and environmentally friendly rail/road intermodal transport that would help to meet the goals of reducing climate change while making the use of aggregates more environmentally friendly.

Post-pandemic patient safety: have the characteristics of incidents with harm changed? Comparative observational study in primary care via review of medical records with a trigger tool

BackgroundThe COVID-19 pandemic generated or accelerated healthcare changes, some of which persist thereafter (e.g., healthcare reorganisation, remote consultation). Such changes entail novel risks for patient safety.MethodsAimTo compare the characteristics of patient safety incidents with harm (PSIH) in primary care before the pandemic and at present.Design and settingCross-sectional, comparative, observational study conducted within the entire Primary Care Service of the Madrid region with observations at two time points (2018 and 2021/2022).ParticipantsPatients > 18 years of age with at least one consultation in the previous year. The necessary sample size was established at N1 = 2,000 for the first time point and N2 = 2,700 for the second. Sampling was performed by simple randomisation for the first group and by clusters followed by simple randomisation for the second.Main measurementsAge, gender, presence of PSIH in the medical record, and characteristics of the PSIH, specifically avoidability, severity, place of occurrence, nature, and contributory factors. Triggers validated in primary care were employed to screen the patients’ medical records and those containing any trigger were reviewed by three nurse-physician teams who underwent previous training.AnalysisComparative analysis using Fisher’s exact test.ResultsA total of 63 PSIHs and 25 PSIHs were found for the first and second samples, respectively. The comparison of the characteristics of PSIH before the pandemic and currently was: avoidable 62% vs. 52% (p = 0.47), mild 51% vs. 48% (p = 0.57), in the primary care setting 73% vs. 64% (p = 0.47), respectively. Although no statistically significant differences were observed globally in the nature of the incidents (p = 0.13), statistically significant differences were found for diagnostic errors, with pre-pandemic rates of 6% vs. 20% at present (p < 0.05). Finally, no significant differences were found in the contributory factors.ConclusionsNo differences were found in the avoidability, severity, place of occurrence, or contributory factors of PSIHs before the pandemic and currently. In terms of the nature of these incidents, the outcomes revealed an increase in diagnostic errors (excluding diagnostic tests), which could be attributed to a greater frequency of remote consultations and a decrease in the longitudinality of care resulting from the shortage of professionals.

Importance of the quality management of aerobiological monitoring networks: The case study of Madrid Region in Spain

Interest in biological air quality monitoring is rising, and updated public information is increasingly demanded by stakeholders in the case of airborne pollen, which requires maintaining high standards of data quality. The number of aerobiological stations worldwide is continuously growing, and quality management is becoming more complex with the increase in the scale of aerobiological networks. Quality control exercises are crucial for maintaining the quality of the data used in the pollen monitoring routine over time. In this study we show the results of an intercomparison test among technicians in the Madrid Region Palynological Network in central Spain in order to identify potential sources of error during the pollen analysis. The findings of this intercomparison exercise indicated very high-quality pollen data based on two different proficiency tests: i) the technicians' analysis of common samples with the light microscopes used in the routine pollen analysis; and ii) the analysis of common samples with all technicians using the same light microscope. A few specific remarkable errors were detected (i.e., those whose Absolute Error > |10| and Relative Error > |20 %|), such as confusion by four participants between Quercus vs. Acer and Quercus vs. Platanus pollen. Since the pollen analysis routine requires very experienced professionals, we believe it is essential to provide adequate training programmes for pollen analysis and the specific identification of these problematic pollen types. High-quality environmental data is crucial for sharing with regional, national and continental networks to ensure applicability, reproducibility and integration in large-scale studies.

The influence of politicians' sex on political budget cycles: An empirical analysis of Spanish municipalities

AbstractDoes a politician's sex influence political budget cycles (PBCs)? We answer this question using a sample of Spanish municipalities from the Madrid region for the period 2010–2019. The Madrid region has a homogenous set of budget rules that allow consistent categorization of budget expenditure items as either “mandatory” or “non‐mandatory” public services. After differentiating between smaller and larger municipalities, gender influence is studied along two dimensions: the mayor's sex and the share of women in government. Our findings include, in regard to mandatory spending in smaller municipalities, that gender‐balanced governments induce PBCs. In larger municipalities, when the share of women in government is above 60%, electoral spending is increased by up to 10% of an average municipal budget for mandatory spending, and up to 2.2% for non‐mandatory. These findings are generally supported in a mixed‐gender close election analysis.

The importance of test order in external and standardized test results: The case of PISA 2018.

Standardized tests intend to reduce information asymmetry by providing a common and objective measure of students' academic performance. The basic assumption underlying standardized testing is that differences in student performance on standardized tests should be attributed primarily to differences in the quality of education received by students. However, there is evidence that environmental factors can affect standardized test scores, which may result in anomalous observations or outliers that show a distortion of student performance. In this regard, the exclusion of Spain from PISA 2018 is particularly interesting as Spanish data met PISA 2018 Technical Standards but showed implausible student-response behavior. The aim of this paper is to complement the OECD's analysis of Spain's exclusion from PISA 2018 by exploring the potential reasons behind the outlier results, focusing on the Madrid region.

The effectiveness of nirsevimab in reducing the burden of disease due to respiratory syncytial virus (RSV) infection over time in the Madrid region (Spain): a prospective population-based cohort study.

Respiratory syncytial virus (RSV) infection is one of the main causes of morbidity and mortality from lower respiratory tract infections in children under 5 years of age worldwide. Given that, the objective of this study was estimate the effectiveness of nirsevimab (a single-dose, long-acting, human recombinant monoclonal antibody against RSV) over time for the prevention of respiratory episodes treated at different levels of care. A prospective and dynamic population-based cohort study was performed including infants born between April 1 and December 31, 2023, in the Madrid region who resided there during the follow-up period from October 1, 2023, to February 29, 2024. Infants were considered immunized from the day after receiving one dose (50 or 100 mg) of nirsevimab or nonimmunized individuals if they did not receive any dose. There were 4,100 episodes of primary care, 1,954 hospital emergencies, and 509 admissions, 82 of which required intensive care in the 33,859 participants analyzed. The adjusted effectiveness of nirsevimab in preventing hospitalization due to RSV infection was 93.6% (95% CI: 89.7 to 96.1) at 30 days and 87.6% (95% CI: 67.7 to 95.3) at 150 days. The number needed to treat to prevent one hospitalization were 314.19 (95% CI: 306.22 to 327.99) at 30 days and 24.30 (95% CI: 22.31 to 31.61) at 150 days. The adjusted effectiveness of nirsevimab in avoiding admission to an intensive care unit was 94.4% (95% CI: 87.3 to 97.5) at 30 days and 92.1% (95% CI: 64.0 to 98.3) at 90 days. The adjusted effectiveness of nirsevimab for avoiding primary care consultations and hospital emergency visits was lower. Immunization with nirsevimab is an effective measure for reducing the burden of care related to RSV at all levels of care albeit it decreases throughout follow-up. At 150 days it remained high for preventing hospital admissions. Other articles already published have also demonstrated high effectiveness although with preliminary results, short follow-up periods and wide confidence intervals. None have detected a decrease in effectiveness over time. These results can be quite useful in individual infant prevention and in the design of immunization campaigns.

Transferability of Empirical Models Derived from Satellite Imagery for Live Fuel Moisture Content Estimation and Fire Risk Prediction

Estimating live fuel moisture content (LFMC) is critical for assessing vegetation flammability and predicting potential fire behaviour, thus providing relevant information for wildfire prevention and management. Previous research has demonstrated that empirical modelling based on spectral data derived from remote sensing is useful for retrieving LFMC. However, these types of models are often very site-specific and generally considered difficult to extrapolate. In the present study, we analysed the performance of empirical models based on Sentinel-2 spectral data for estimating LFMC in fire-prone shrubland dominated by Cistus ladanifer. We used LFMC data collected in the field between June 2021 and September 2022 in 27 plots in the region of Andalusia (southern Spain). The specific objectives of the study included (i) to test previous existing models fitted for the same shrubland species in a different study area in the region of Madrid (central Spain); (ii) to calibrate empirical models with the field data from the region of Andalusia, comparing the model performance with that of existing models; and (iii) to test the capacity of the best empirical models to predict decreases in LFMC to critical threshold values in historical wildfire events. The results showed that the empirical models derived from Sentinel-2 data provided accurate LFMC monitoring, with a mean absolute error (MAE) of 15% in the estimation of LFMC variability throughout the year and with the MAE decreasing to 10% for the critical lower LFMC values (&lt;100%). They also showed that previous models could be easily recalibrated for extrapolation to different geographical areas, yielding similar errors to the specific empirical models fitted in the study area in an independent validation. Finally, the results showed that decreases in LFMC in historical wildfire events were accurately predicted by the empirical models, with LFMC &lt;80% in this fire-prone shrubland species.

SME digital transformation and the COVID-19 pandemic: a case study of a hard-hit metropolitan area

Abstract Cities and regions are facing diverse challenges, and the transformation to a digital economy is a core issue. The coronavirus disease-2019 (COVID-19) pandemic has had widespread impacts on business, and it has heightened the need for digitalization. We analyse if and to what degree the COVID-19 pandemic has accelerated the digital transformation of small and medium-sized enterprises (SMEs) in the metropolitan region of Madrid. Our research strategy is based on a quantitative analysis of survey data at the company level. Our results show that a large share of SMEs invested in digital technologies as a response to the pandemic, but there are also important differences between basic and more advanced digital technologies and between manufacturing and service sector firms. SMEs’ previous knowledge and technological resources and capabilities, as well as their collaboration networks with providers are found to trigger adoption of digital technology. Implications for postpandemic policies are highlighted.

Women Architects and Their Works in the Autonomous Region of Madrid, 1978-2008

This paper explores the periphery of the very centre of the architectural system in Spain, considering the work of women architects in the Autonomous Region of Madrid (Comunidad Autónoma de Madrid), the province of its capital, in the period 1978-2008, i. e., between the democratic restoration and the global financial crisis. The approach is threefold. Firstly, a quantitative analysis, according to various parameters, of a sufficiently representative sample (more than a hundred cases) of this female-authored production, either solo or in collaboration with other women colleagues. Secondly, an analysis of the presence of women and their works in the architectural media in terms of the prestige they represent. Thirdly, an evaluation based on a qualitative approach of these works, the account of their differential features, and the identification of the very interests that women architects expressed through them. To this end, a methodology is implemented that includes the collection of bibliographic sources, a call to the architects to invite them to submit their projects and field work, by visiting and collecting data from most of the works. The results reveal that most of their professional practice that solo and is mainly based on residential works—the most recognised— followed by interventions in public spaces. Most of the works correspond to new construction and are concentrated, in time, in the 1990s and, in space, to the south and east of both the capital and the wider Madrid Region. The work of women architects has hardly been reported in professional journals, although it has been more widely disseminated in institutional publications, especially in the case of female civil servants. Qualitatively, the attention paid to the programme, especially to the common and intermediate spaces, the suitability of the technical means to the ends and the context, the care taken in the design of inclusive public spaces and the commitment to sustainability are striking. All this speaks volumes about the value of authors and architectures that, even in the center itself, are relegated to the periphery. It is a political and cultural system, which gender-based research challenges to propose hopeful alternatives for the discipline.

Long-term annual estimation of forest above ground biomass, canopy cover, and height from airborne and spaceborne sensors synergies in the Iberian Peninsula

The Mediterranean Basin has experienced substantial land use changes as traditional agriculture decreased and population migrated from rural to urban areas, which have resulted in a large forest cover increase. The combination of Landsat time series, providing spectral information, with lidar, offering three-dimensional insights, has emerged as a viable option for the large-scale cartography of forest structural attributes across large time spans. Here we develop and test a comprehensive framework to map forest above ground biomass, canopy cover and forest height in two regions spanning the most representative biomes in the peninsular Spain, Mediterranean (Madrid region) and temperate (Basque Country). As reference, we used lidar-based direct estimates of stand height and forest canopy cover. The reference biomass and volume were predicted from lidar metrics. Landsat time series predictors included annual temporal profiles of band reflectance and vegetation indices for the 1985–2023 period. Additional predictor variables including synthetic aperture radar, disturbance history, topography and forest type were also evaluated to optimize forest structural attributes retrieval. The estimates were independently validated at two temporal scales, i) the year of model calibration and ii) the year of the second lidar survey. The final models used as predictor variables only Landsat based metrics and topographic information, as the available SAR time-series were relatively short (1991–2011) and disturbance information did not decrease the estimation error. Model accuracies were higher in the Mediterranean forests when compared to the temperate forests (R2 = 0.6–0.8 vs. 0.4–0.5). Between the first (1985–1989) and the last (2020–2023) decades of the monitoring period the average forest cover increased from 21 ± 2% to 32 ± 1%, mean height increased from 6.6 ± 0.43 m to 7.9 ± 0.18 m and the mean biomass from 31.9 ± 3.6 t ha−1 to 50.4 ± 1 t ha−1 for the Mediterranean forests. In temperate forests, the average canopy cover increased from 55 ± 4% to 59 ± 3%, mean height increased from 15.8 ± 0.77 m to 17.3 ± 0.21m, while the growing stock volume increased from 137.8 ± 8.2 to 151.5 ± 3.8 m3 ha−1. Our results suggest that multispectral data can be successfully linked with lidar to provide continuous information on forest height, cover, and biomass trends.

How heatwaves affect short-term emergency hospital admissions due to bacterial foodborne diseases

The coming decades are likely to see of extreme weather events becoming more intense and frequent across Europe as a whole and around the Mediterranean in particular. The reproduction rate of some microorganisms, including the bacteria that cause foodborne diseases, will also be affected by these events. The aim of this study was thus to ascertain whether there might be a statistically significant relationship between emergency hospital admissions due to the principal bacterial foodborne diseases (BFDs) and the various meteorological variables, including heatwaves.We conducted a time-series study, with daily observations of both the dependent variable (emergency hospital admissions due to BFDs) and the independent variables (meteorological variables and control variables of chemical air pollution) across the period 2013–2018 in the Madrid Region (Spain), using Generalised Linear Models with Poisson regression, in which control and lag variables were included for the purpose of fitting the models. We calculated the threshold value of the maximum daily temperature above which such admissions increased statistically significantly, analysed data for the whole year and for the summer months alone, and estimated the relative and attributable risks.The estimated attributable risk was 3.6 % for every one-degree rise in the maximum daily temperature above 12 °C throughout the year, and 12.21 % for every one degree rise in temperature above the threshold heatwave definition temperature (34 °C) in summer.Furthermore, different meteorological variables displayed a statistically significant association. Whereas hours of sunlight and mean wind speed proved significant in the analyses of both the whole year and summer, the variables “rain” and “relative humidity”, only showed a significant relationship in the analysis for the whole year.High ambient temperature is a risk factor that favours the increase in emergency hospitalisations attributable to the principal BFDs, with a greater impact being observed on days coinciding with heatwave periods. The results yielded by this study could serve as a basis for implementing BFD prevention strategies, especially on heatwave days.

Evaluation of pre-exposure vaccine effectiveness against mpox during the 2022–2023 mpox outbreak in the Madrid region (Spain): a test-negative design

IntroductionAn appropriate vaccination approach is critical to control the current outbreak of mpox but there is little research providing information on its effectiveness, particularly under circumstances of limited vaccine availability.MethodsPre-exposure...

Family Caregivers' Experiences during the COVID-19 Pandemic: Qualitative Study.

Background: The COVID-19 pandemic imposed lockdown measures that affected caregiving. Understanding caregivers' context provides reveals their adaptive strategies to continue caring in this situation of uncertainty and isolation. Objective: To better understand the caregiving experiences of caregivers looking after dependent individuals living in the community during the pandemic. Design: Qualitative research, phenomenological approach. Setting: Primary healthcare centers in Madrid region (Spain). Participants: 21 family caregivers. Methods: Purposive and theoretical sampling was used to recruit caregivers across nurses from primary healthcare centers. Participants were interviewed using a semi-structured interview guide to explore the caring experience. Interview transcripts were evaluated using thematic analysis. Results: The findings were categorized into two themes: "Caregivers during lockdown-providing care in a time of adversity" and "Caregiving toward normality". The sub-themes identified were the re-structuring of before-care services and the introduction of new care approaches, managing the dependent person's health problems, looking after oneself, and dealing with adversity. To adapt to the new normal, strategies were put in place designed to recover confidence and trust, reincorporate assistance, and reconnect with others. Conclusions: Care intensified during the pandemic. Caregivers took on the task without assistance, focusing on preventing contagion and protecting themselves to be able to continue giving care.

Pilot study for neonatal spinal muscular atrophy screening: Implementation in the devolved region of Madrid

Pilot study for neonatal spinal muscular atrophy screening: Implementation in the devolved region of Madrid

Summertime tropospheric ozone source apportionment study in the Madrid region (Spain).

The design of emission abatement measures to effectively reduce high ground-level ozone (O3) concentrations in urban areas is very complex. In addition to the strongly non-linear chemistry of this secondary pollutant, precursors can be released by a variety of sources in different regions, and locally produced O3 is mixed with that transported from the regional or continental scales. All of these processes depend also on the specific meteorological conditions and topography of the study area. Consequently, high-resolution comprehensive modeling tools are needed to understand the drivers of photochemical pollution and to assess the potential of local strategies to reduce adverse impacts from high tropospheric O3 levels. In this study, we apply the Integrated Source Apportionment Method (ISAM) implemented in the Community Multiscale Air Quality (CMAQ v5.3.2) model to investigate the origin of summertime O3 in the Madrid region (Spain). Consistent with previous studies, our results confirm that O3 levels are dominated by non-local contributions, representing around 70 % of mean values across the region. Nonetheless, precursors emitted by local sources, mainly road traffic, play a more important role during O3 peaks, with contributions as high as 25 ppb. The potential impact of local measures is higher under unfavorable meteorological conditions associated with regional accumulation patterns. These findings suggest that this modeling system may be used in the future to simulate the potential outcomes of specific emission abatement measures to prevent high-O3 episodes in the Madrid metropolitan area.

Youth and COVID-19 immunization: navigating the nexus of individualism and mistrust

ABSTRACT The objective of this study is to comprehensively examine the diverse discourses among unvaccinated young individuals against COVID-19 in the region of Madrid. Our aim is to gain insights into the motivations and underlying rationales they articulate to justify their decision to remain unvaccinated. To achieve this, we employ a methodological triangulation approach, encompassing in-depth interviews, urban space ethnography, and a social network analysis with a specific focus on Telegram groups. The qualitative data collected is subsequently analyzed using a combination of Grounded Theory procedures and critical discourse analysis. Ultimately, our findings reveal three fundamental discursive dimensions. These encompass the assertion of the right to individual autonomy, perceptions of social and political manipulation, and skepticism towards vaccines rooted in scientific skepticism.

Innovation in vine growing in a context of climate change: AKIS and map of knowledge in Central Spain

PurposeTo address the challenges of the agricultural sector, innovation is necessary. This study aims to focus on knowledge circulation as a basis to facilitate innovation in viticulture in the context of climate change.Design/methodology/approachWe have conducted interviews with viticulture stakeholders in Central Spain (Madrid region) on their perceptions and concerns about climate change, knowledge on practices to mitigate its effects on this crop and their relationship with each other for knowledge exchange. A map showing the knowledge nodes and their relationships with other stakeholders has been drawn based on the answers obtained.FindingsWinegrowers have already noticed the effects of climate change, and they are changing some agricultural practices. Drip irrigation was the most frequently mentioned option to minimize these effects. The map of knowledge identifies the main nodes in the information flow. Results also highlight different approaches to climate change and interesting nuances in the maps of knowledge among winegrowers with and without winery.Research limitations/implicationsThis paper is focused on the Madrid region, a territory that is still consolidating its wine sector at the economic and marketing levels. We understand that regions with more consolidated or stronger sectors involve maps of knowledge more complex than that obtained in this study.Practical implicationsShowing the nodes of knowledge, as well as the weaknesses and strengths of the information circuit in the wine sector in the Madrid region, is very relevant to developing strategies aimed at supporting innovation in this sector. From a practical point of view, strategies for knowledge generation and circulation are only one part of the innovation process – policies for financial and technical support are key complementary measures.Social implicationsIdentification of key agents in the innovation process in the wine sector is essential to foster innovation processes. Ultimately, this will lead to more efficient adaptation to new challenges in the sector.Originality/valueThe Agriculture Knowledge and Innovation Systems (AKIS) approach has a consolidated theoretical framework that pays great attention to knowledge flows, but specific studies are needed to capture the reality of AKIS by sector and by region.

Different phenological behaviour of native and exotic grasses extends the period of pollen exposure with clinical implications in the Madrid Region, Spain

Exotic allergenic species constitute an important element of global change and are an emergent health issue in Europe due to their potential allergenicity. The grass pollen season is of great importance from the allergic point of view because it includes pollen from ubiquitous species which are responsible for high sensitization rates. In this study, we used flowering phenology data for dominant grass species in the city of Madrid (Spain) and airborne pollen data to explore differences between native and exotic species and their potential contribution to the observed peaks of pollen exposure. We found that exotic grasses flowered later than Mediterranean native grasses, and that ornamental grass species (such as Cortaderia selloana and Pennisetum villosum) cause an unusual second pollen season in autumn with implications for public health. These results support the need to coordinate the efforts of plant ecologists and aerobiologists to protect the population by identifying sources of allergenic pollen and sustain the appropriate urban plans.

Phenological Evaluation of Minority Grape Varieties in the Wine Region of Madrid as a Strategy for Adaptation to Climate Change

In this study, a total of 34 Spanish minority varieties were studied during four seasons from 2020 to 2023, and their behavior was characterized according to their main phenological stages (bud break, bloom, veraison, and maturity) and complete cycle. We focused on the varieties prospected in the central Spanish plateau and conserved in the “El Encín” grapevine collection, aiming to identify the potential for adaptation of these varieties and for them to be considered by winegrowers as an alternative to current climate change conditions. The growing degree days required for the expression of the phenological stage, and the duration of each stage, were compiled. Characteristics of oenological interest were also monitored, such as °Brix, pH, and titratable acidity in must at the time of harvest. This study was carried out in years with atypical snowfall and cold spells (winter 2021), as well as with heat waves (summer 2022), with average temperatures 3–5 °C higher than normal and absolute maximum temperatures over 40 °C. Both cases also exceeded records of historical series (1957–2019). Veraison has been identified as the stage most susceptible to damage from high temperatures, in addition to the maturation and duration of the complete cycle. The varieties were classified into five groups according to the duration of each phenological stage (very early, early, medium, late, and very late). Some varieties with late or very late maturation and with must characteristics of 20–23 °Brix, 3–5 g/L of titratable acidity, and pH 3.5–4.5, as well as others, retained stability in their phenological periodicity and must quality. The results suggest that special attention should be given to thoroughly evaluating these varieties, and that the strategies contemplated should be considered as a feasible cultivation alternative in viticulture to mitigate the effects of climate change.

Residencia en Anestesiología y Reanimación en la comunidad autónoma de Madrid, España: ¿qué conocimientos tienen los residentes y cuáles son los motivos de su elección de la especialidad?

BackgroundOver the past years, choice of specialization in Anaesthesiology and intensive care has become more popular in Spain among medical students. We designed a survey to study this trend, assessing theoretical knowledge and factors which participated to the choice of anaesthesia, among first-year residents in the region of Madrid. MethodsA survey was designed to evaluate the background, exposure to anaesthesia during medical school training, and motivation, followed by a test of knowledge based on 15 multiple choice questions. The questions were proposed to the seventy residents of the Madrid Autonomous Region who started their training program in 2022. Results60/70 (85,7%) residents answered the survey. Only 58,3% of respondents had studied in Madrid and 98,3% had chosen anaesthesia as their first option. During their medical degree, 65% of them had received theoretical lectures in anaesthesia and 66,7% did a clinical rotation. Choosing to specialize in Anaesthesiology was influenced by doing clinical rotations (p < 0,001), but not by receiving lectures (p=0,88). When asked about the main reasons for selecting anaesthesia, the variety of technical skills available had influenced 76,7% residents, the width of knowledge 75% and the career opportunities 73,3% of residents. The median score for the knowledge test reached 13/15 of correct answers. ConclusionMost of our first-year residents did a clinical rotation during their medical degree and were exposed to their future specialty, which oriented their choice. When considering anaesthesia as a choice, technical skills was the most influencing factor.